D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 31 Citations 4,565 141 World Ranking 5937 National Ranking 245

Overview

What is she best known for?

The fields of study she is best known for:

  • Algorithm
  • Electrical engineering
  • Artificial intelligence

The scientist’s investigation covers issues in Mathematical optimization, Fuzzy logic, Algorithm, Electric power system and Control reconfiguration. Her Mathematical optimization research focuses on Heuristic in particular. Her Fuzzy logic study combines topics in areas such as Linear programming, Wind power, Power system simulation and Control theory.

As part of the same scientific family, she usually focuses on Linear programming, concentrating on Power transmission and intersecting with AC power and Transmission system. Bala Venkatesh has included themes like State of charge, Electronic engineering, Adaptive neuro fuzzy inference system and Nonlinear system in her Electric power system study. Her studies deal with areas such as Electrical network and Evolutionary programming as well as Control reconfiguration.

Her most cited work include:

  • Optimal Scheduling for Charging and Discharging of Electric Vehicles (506 citations)
  • Optimal reconfiguration of radial distribution systems to maximize loadability (264 citations)
  • A new optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy LP technique (170 citations)

What are the main themes of her work throughout her whole career to date?

Bala Venkatesh spends much of her time researching Electric power system, Mathematical optimization, Control theory, AC power and Renewable energy. Her Electric power system research incorporates elements of Reliability engineering, Power Balance, Transmission system, Electronic engineering and Electrical engineering. Her work carried out in the field of Mathematical optimization brings together such families of science as Wind power, Power system simulation and Fuzzy logic.

Her study focuses on the intersection of Fuzzy logic and fields such as Evolutionary programming with connections in the field of Control reconfiguration. Her study explores the link between Control theory and topics such as Voltage that cross with problems in Artificial neural network. Her AC power research includes elements of Successive linear programming, Power electronics, Jacobian matrix and determinant and Capacitor.

She most often published in these fields:

  • Electric power system (30.98%)
  • Mathematical optimization (27.72%)
  • Control theory (20.65%)

What were the highlights of her more recent work (between 2018-2021)?

  • Electric power system (30.98%)
  • Mathematical optimization (27.72%)
  • Energy storage (11.96%)

In recent papers she was focusing on the following fields of study:

Bala Venkatesh mostly deals with Electric power system, Mathematical optimization, Energy storage, Electricity and Power Balance. Her research integrates issues of Linear programming, Real-time computing and Linear model in her study of Electric power system. Mathematical optimization is often connected to Value in her work.

Her Energy storage research incorporates elements of Distributed generation, Renewable energy and Reliability engineering. Her Power Balance research includes themes of AC power, Voltage, Monotonic function and Control theory. Her work on PID controller as part of general Control theory study is frequently linked to Backstepping, therefore connecting diverse disciplines of science.

Between 2018 and 2021, her most popular works were:

  • Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting (31 citations)
  • Optimal Scheduling of Merchant-Owned Energy Storage Systems With Multiple Ancillary Services (12 citations)
  • A Novel Capacity Market Model With Energy Storage (10 citations)

In her most recent research, the most cited papers focused on:

  • Electrical engineering
  • Algorithm
  • Artificial intelligence

Her primary areas of investigation include Electric power system, Energy storage, Mathematical optimization, Electricity and Successive linear programming. The concepts of her Electric power system study are interwoven with issues in AC power, Linear model and Smart grid. She works mostly in the field of Energy storage, limiting it down to concerns involving Renewable energy and, occasionally, Total cost, Cost of electricity by source, Photovoltaic system and Integer programming.

Her Electricity research is multidisciplinary, incorporating perspectives in Training set and Operations research. Her research on Successive linear programming also deals with topics like

  • Power Balance together with Voltage,
  • Linear programming which connect with Nonlinear system. Bala Venkatesh conducts interdisciplinary study in the fields of Line and Control theory through her research.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Optimal Scheduling for Charging and Discharging of Electric Vehicles

Yifeng He;B. Venkatesh;Ling Guan.
IEEE Transactions on Smart Grid (2012)

777 Citations

Optimal reconfiguration of radial distribution systems to maximize loadability

B. Venkatesh;R. Ranjan;H.B. Gooi.
IEEE Transactions on Power Systems (2004)

415 Citations

A new optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy LP technique

B. Venkatesh;G. Sadasivam;M.A. Khan.
IEEE Transactions on Power Systems (2000)

282 Citations

Appliance Scheduling Optimization in Smart Home Networks

F. A. Qayyum;M. Naeem;A. S. Khwaja;A. Anpalagan.
IEEE Access (2015)

154 Citations

Effect of heat treatment on mechanical properties of Ti–6Al–4V ELI alloy

B.D. Venkatesh;D.L. Chen;S.D. Bhole.
Materials Science and Engineering A-structural Materials Properties Microstructure and Processing (2009)

152 Citations

Improved short-term load forecasting using bagged neural networks

A.S. Khwaja;M. Naeem;A. Anpalagan;A. Venetsanopoulos.
Electric Power Systems Research (2015)

149 Citations

Smart metering and functionalities of smart meters in smart grid - a review

Gouri R. Barai;Sridhar Krishnan;Bala Venkatesh.
electrical power and energy conference (2015)

145 Citations

Optimal participation and risk mitigation of wind generators in an electricity market

A. Dukpa;Inderjeet Duggal;B. Venkatesh;Ly-Yu Chang.
Iet Renewable Power Generation (2010)

141 Citations

Fuzzy MILP Unit Commitment Incorporating Wind Generators

B. Venkatesh;Peng Yu;H.B. Gooi;Dechen Choling.
IEEE Transactions on Power Systems (2008)

128 Citations

Optimal radial distribution system reconfiguration using fuzzy adaptation of evolutionary programming

B. Venkatesh;Rakesh Ranjan.
International Journal of Electrical Power & Energy Systems (2003)

116 Citations

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